Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

How to create the MS Coco style dataset ? #74

Open
manhcuogntin4 opened this issue Mar 5, 2018 · 3 comments
Open

How to create the MS Coco style dataset ? #74

manhcuogntin4 opened this issue Mar 5, 2018 · 3 comments

Comments

@manhcuogntin4
Copy link

Hi, I want to know how to convert the output of LabelMe to MS Coco style ? I want to train the Mask-RCNN with the output of LabelMe Annotation but the output is Pascal Voc not MS Coco. Thank !

@Abhijit-2592
Copy link
Contributor

Change this XML format accordingly

@shreyapandit
Copy link

Hi there, I am facing the same issue: I want bounding boxes to be in a format that can be used with TensorFlow: [(xmin, ymin) and (xmax,ymax)]

Reference: https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/using_your_own_dataset.md

is there a way that we can convert the default LabelMe annotations into the above formats? Thanks!

@salvador-blanco
Copy link

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

4 participants